Optimal Water Distribution and Delivery within the Main Irrigation Canal Regarding to Economic Perspective in Water Shortages Conditions

Document Type : Original Article

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Abstract

In this study, a newly operation-economy framework is proposed for the operation of the irrigation canals suffering from water scarcity periods. The framework is working based on maximization of the net revenue derived from the existing farming activities and economic value of water. To this end, the economic model of Positive Mathematic Programing (PMP) and the operational model of Model Predictive Controller (MPC) were employed respectively to determine the economic value of water and Water delivery to secondary farming units. Considering the existing agricultural potential at Qazvin irrigation network, the economic model computes economic value of water based on optimizing the existing cropping pattern. Consequently, the secondary farming units were ranked with regards to the corresponding economic values of water. According to the results, the secondary canals of L4 and L1 respectively with 2000 and 2180 got the first rank and L9 and L10 with respectively 1220 and 1000 IRR per cubic meters got the worst rank. The MPC operational model was minimizing the water level errors regarding the provided prioritizing by the economic model. Results show the satisfactory operation of the canal reaches so that the water delivery to the L4 and L1 canals with high economic water value is kept closer to the operational target levels. Although the main canal is operated at water shortages scenario, however, water delivery to these mentioned canals has not been affected.

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References

Burt CM (2011) The irrigation sector shift from construction to modernization: what is required for success?. In: Proc. of 21st International Congress on Irrigation and Drainage, 10-12 Oct, Tehran, Iran 24-36
Camacho EF, Bordons C (2004) Model predictive control in the process industry. Springer, London, England, 250p
Clemmens AJ (2012) Water-level difference controller for main canals. Journal of Irrigation and Drainage Engineering 138(1):1-8
Clemmens AJ, Kacerek TF, Grawitz B, Schuurmans W (1998) Test cases for canal control algorithms. Journal of Irrigation and Drainage Engineering 124(1):23-30
Fele F, Maestre JM, Hashemy SM, Muñoz de la Peña D, Camacho EF (2014) Coalitional model predictive control of an irrigation canal. Journal of Process Control 24(4):314-325
Garay PV, Peterson JM, Smith CM, Golden BB (2010) Disaggregated spatial modeling of irrigated land and water use. In: Proc. of Agricultural and Applied Economics Association Annual Meeting, 20-22 Sep, Denver, Colorado, 124-138
Guan G, Clemmens AJ, Kacerek TF, Wahlin BT (2011) Applying water-level difference control to central Arizona project. Journal of Irrigation and Drainage Engineering 137(12):747-753
Hashemy S, Monem M, Maestre J, Van Overloop P (2013) Application of an in-line storage strategy to improve the operational performance of main irrigation canals using model predictive control. Journal of Irrigation and Drainage Engineering 139(8):635-644
Howitt RE (1995) Positive mathematical programming. American Journal of Agricultural Economics 77(6):329-342
Howitt RE, Medellín-Azuara J, MacEwan D, Lund JR (2012) Calibrating disaggregate economic models of agricultural production and water management. Environmental Modelling & Software 38(4):244-258
Medellín-Azuara J, Harou JJ, Howitt RE (2010) Estimating economic value of agricultural water under changing conditions and the effects of spatial aggregation. Science of the Total Environment 408(23):5639-5648
Molden D, Gates T (1990) Performance measures for evaluation of irrigation‐water‐delivery systems. Journal of Irrigation and Drainage Engineering 116(6):804-823
van Overloop PJ, Clemmens AJ, Strand RJ, Wagemaker RMJ, Bautista E (2010) Real-time implementation of model predictive control on Maricopa-Stanfield irrigation and drainage district's WM canal. Journal of Irrigation and Drainage Engineering 136(11):747-756
Zafra-Cabeza A, Maestre JM, Ridao MA, Camacho EF, Sánchez L (2011) A hierarchical distributed model predictive control approach to irrigation canals: A risk mitigation perspective. Journal of Process Control 21(5):787-799
 
 
 
Iran-Water Resources Research
Volume 13, Issue 3
December 2017
Pages 33-42

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History

  • Receive Date: 21 November 2016
  • Revise Date: 24 February 2017
  • Accept Date: 28 February 2017

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